OpenMV Review – Machine Vision Camera Module


Dear friends welcome to another video tutorial! In this video, we are going to take a first
look at the OpenMV camera module, a board that wants to become the Arduino of Machine
Vision. Let’s get started! Hello, guys, I am Nick and welcome to educ8s.tv
a channel that is all about DIY electronics projects. In this channel, I share everything about
the projects I build to help you develop similar projects or inspire you to start making things
because it is easy, fun and creative. Subscribe to the channel now if you do not
want to miss any future video. A very promising new board hit the market
last year. It is the OpenMV M7 Camera module. The project started as a Kickstarter campaign
three years ago which managed to raise 100.000$ to bring the idea from paper to reality. The project aims to bring Machine Vision closer
to makers and hobbyists. They want to become the Arduino of Machine
Vision. I love this idea! It is going to make Machine Vision easy and
fun to use. Our projects will be able to “see” the
world for the first time! Let’s see what the board has to offer. The OpenMV M7 camera module features the following:
• OV7725 Image sensor with a resolution of 640×480 pixels
• ARM Cortex M7 processor • CPU Frequency: 216MHz
• 512KB RAM Memory • 2MB of FLASH memory
• microSD Card Slot • A full-speed USB interface to the computer
• SPI, I2C, CAN buses • 10 I/O pins
• A 12bit DAC and 12bit ADC • And, an RGB LED and two high power 850nm
IR LEDs. • MicroPython support
• Low power consumption, about 1W Compared to an Arduino Uno, or even an ESP32
we can see that this board uses a very powerful processor. The board costs around 50$, and you can find
a link to it in the description of the video below. OK, the specs are great but what can we achieve
with this board? The OpenMV Cam can be used for the following
things according to its designers: • Color Tracking
• Face Detection • Eye Tracking
• QR Code Detection/Decoding • AprilTag Tracking
• Line Detection • Image Capture
• Video Recording The list of possible applications is impressive. With the use of this board, we can move our
projects to the next level. The board can be programmed with an IDE developed
specifically for this board. The board runs the MicroPython operating system
so we can program the board using Python! How cool is that! But enough with the specs. Let’s build something with the board. At first, we have to download the OpenMV IDE. The software is free and easy to use. Each time you use it, the software asks for
a registration which costs 15$. Since I really love the idea and the board
I quickly registered to support the project. First of all, we have to connect the board
to the computer using a USB cable. Next, we have to press the connect button
and now we are ready to write our first program. Let’s write a simple blink project. We can program the board using Python! When the program is ready all we have to do
is to press the Start button and the program will execute, the LED will start blinking! But the program is not saved to the board
yet. In order to do so, we have to go to Tools
and select the “Save open script to Open MV cam”, press yes on the Pop-Up message
and we are done. Now if we unplug the board from the computer
and provide power from a power bank we can see that the blink program is running! We have successfully programmed the OpenMV
cam. If your program does not run if you unplug
it from the computer, be sure you have selected the correct Drive to associate with the board. If you don’t select the correct one, the
program won’t be saved. Now, that we know how to program the board
let’s look at another more advanced example. Jerry Lee, a viewer of the channel suggested
that I should take a look at AprilTags and openMV. So let’s load an AprilTag example. I was not aware of AprilTags. They are similar to QR codes but they encode
far smaller data payloads, between 4 and 12 bits allowing them to be detected more robustly
and from longer ranges. Further, they are designed for high localization
accuracy. You can compute the precise 3D position of
the AprilTag with respect to the camera. I simply printed an AprilTag on my printer. Let’s see if the OpenMV module can detect
it. I have loaded an example that comes with the
IDE. As you can see the OpenMV cam module can easily
detect the AprilTag. It can also detect its rotation and distance
from the camera! Amazing stuff! We can build some interesting projects with
this functionality. I think this functionality is very useful
to robotics. We can easily make this robot I built some
time ago to follow an AprilTag! Since I am a complete beginner to AprilTags
I have to learn more about them before using them, so stay tuned. While searching at the examples programs the
board offers, I came across Machine Learning examples! Can a 50$ board execute Machine Learning applications? It seems that it can! I loaded a demo program and a small pre-trained
model! The openMV camera module can detect cats,
dogs and other objects in real time! Let’s load an image of a dog. As you can see the program can detect the
dog with an accuracy of more than 70%! Of course, the accuracy is not great, but
the fact that a low-cost board can run machine learning models is a huge step forward! The possibilities are endless. The board needs around 160mA of current when
running the machine learning example! The power consumption is very low, way lower
than the power consumption of the Raspberry Pi which can achieve similar results. I am really impressed by this board. Artificial Intelligence is coming fast and
it is going to be the next big thing in the maker community. In a couple of years, boards like this one
will be common and less expensive. Our devices will be able to “see” the
environment using Machine Vision. Many problems can be solved if our devices
can see and understand their environment. Exciting times ahead! I can’t wait to build something with this
board! I would love to hear your opinion about the
OpenMV camera module. Do you like it, and are you going to use it
in any of your projects? Please post your comments below. Thanks! If this is your first time here, I would love
to have you subscribed. In this channel, I post videos about DIY projects
twice a month. I love making things, and I believe that anyone
can make things, anyone can become a maker. That’s why I created this channel, to share
my knowledge with the community and learn from the community. I hope you will join us. I will see you in the next video! [ Translating these subtitles? Add your name here! ]

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